Scipy interpolate methods

1. What are the methods available for interpolation?
2. What does Scipy interpolate do?
3. What is interpolation method in Python?
4. What does Scipy interpolate interp1d return?

What are the methods available for interpolation?

They are: Linear Interpolation Method – This method applies a distinct linear polynomial between each pair of data points for curves, or within the sets of three points for surfaces. Nearest Neighbour Method – This method inserts the value of an interpolated point to the value of the most adjacent data point.

What does Scipy interpolate do?

The interp1d class in the scipy. interpolate is a convenient method to create a function based on fixed data points, which can be evaluated anywhere within the domain defined by the given data using linear interpolation.

What is interpolation method in Python?

Interpolation in Python is a technique used to estimate unknown data points between two known data points. Interpolation is mostly used to impute missing values in the dataframe or series while preprocessing data.

What does Scipy interpolate interp1d return?

This class returns a function whose call method uses interpolation to find the value of new points. A 1-D array of real values. A N-D array of real values. The length of y along the interpolation axis must be equal to the length of x.